Senior AI Architect — Enterprise GenAI on AWS Bedrock

Tata Consultancy Services

Owings Mills (MD)

On-site

USD 150,000 - 175,000

Full time

14 days+

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Benefits offered by this job

Discretionary Annual Incentive

Medical Coverage

Parental Leaves

401K Plan

Training Reimbursement

Job summary

Tata Consultancy Services is seeking a senior Enterprise Architect to lead Claude-based Agentic AI initiatives across the enterprise. You will shape target-state architectures, establish governance, and drive alignment with security, data, and cloud teams.

The role emphasizes scalable, observable, and compliant AI solutions that integrate with enterprise systems. Ideal candidates will bring 15+ years in enterprise/solution architecture, 5+ years leading AI programs, and strong AWS Bedrock

Qualifications

15+ years of enterprise architecture, solution architecture and cloud architecture experience.
5+ years leading AI/ML, GenAI or enterprise platform architecture programs.
Lead architecture discussions, technology decisions and design governance for Claude based Agentic AI solutions on Bedrock.
Deep understanding of AI architecture patterns (agent orchestration, multi-agent, RAG, vector databases, tool/function calling).
Strong AWS architecture knowledge across Bedrock, Lambda, API Gateway, Step Functions, ECS/EKS, S3, IAM, KMS, VPC, CloudWatch, CloudTrail, CI/CD and DevSecOps.
Experience defining enterprise AI reference architectures, reusable patterns, governance, NFRs, decision records, roadmaps.
AI governance, Responsible AI, security, privacy, data governance, auditability and compliance in financial services.
Guide AI Architects and engineering teams on design, scalability, resiliency, integration, observability, performance and cost optimization.
Integrating AI platforms with enterprise apps, APIs, workflows, IAM, data platforms and in-house capabilities.
Working knowledge of Asset Management, Investment Operations, Distribution, Client Reporting and Middle Office processes.

Responsibilities

Own technical architecture direction and decisions for Claude based Agentic AI implementation.
Lead architecture discussions with stakeholders, enterprise architects, security, data, cloud, platform and engineering teams.
Define target-state architecture, reference patterns, integration approach and operating model for enterprise AI solutions.
Chair design reviews and architecture governance forums; drive decisions, risk mitigation and approvals.
Provide enterprise-level guardrails, cross-workstream alignment, governance and escalation support.
Guide implementation teams on reusable components, coding standards, testing strategy and production readiness.
Partner with domain architects and business teams to align AI designs with business value and operating model needs.
Oversee architecture for agent workflows, RAG pipelines, knowledge ingestion, tool integrations, observability, LLMOps and AI FinOps.
Ensure compliance with security, IAM, encryption, privacy, audit logging and data governance.
Provide executive architecture updates, decision logs, roadmaps and delivery risk assessments to senior stakeholders.